Institute of Microanalytical Systems, Department of Chemistry , Zhejiang University , Hangzhou , 310058 , China.
Life Sciences Institute , Zhejiang University , Hangzhou , 310058 , China.
Anal Chem. 2019 Aug 6;91(15):10132-10140. doi: 10.1021/acs.analchem.9b02138. Epub 2019 Jul 17.
To obtain diffraction-quality crystals is one of the largest barriers to analyze the protein structure using X-ray crystallography. Here we describe a microfluidic droplet robot that enables successful miniaturization of the whole process of crystallization experiments including large-scale initial crystallization screening, crystallization optimization, and crystal harvesting. The combination of the state-of-the-art droplet-based microfluidic technique with the microbatch crystallization mode dramatically reduces the volumes of droplet crystallization reactors to tens nanoliter range, allowing large-scale initial screening of 1536 crystallization conditions and multifactor crystallization condition optimization with extremely low protein consumption, and on-chip harvesting of diffraction-quality crystals directly from the droplet reactors. We applied the droplet robot in miniaturized crystallization experiments of seven soluble proteins and two membrane proteins, and on-chip crystal harvesting of six proteins. The X-ray diffraction data sets of these crystals were collected using synchrotron radiation for analyzing the structures with similar diffraction qualities as conventional crystallization methods.
获得具有良好衍射质量的晶体是利用 X 射线晶体学分析蛋白质结构的最大障碍之一。在这里,我们描述了一种微流控液滴机器人,它成功地将结晶实验的整个过程小型化,包括大规模初始结晶筛选、结晶优化和晶体收获。基于液滴的最先进的微流控技术与微批量结晶模式的结合,将液滴结晶反应器的体积大大减小到数十纳升级别,允许大规模初始筛选 1536 种结晶条件,并以极低的蛋白质消耗进行多因素结晶条件优化,以及直接从液滴反应器中进行芯片上的衍射质量晶体收获。我们将液滴机器人应用于七种可溶性蛋白和两种膜蛋白的小型化结晶实验,以及六种蛋白的芯片上晶体收获。这些晶体的 X 射线衍射数据集是使用同步辐射收集的,用于分析与传统结晶方法类似的结构。